# Redfin Scraper — Listings & Sold Comps (`scrapersdelight/redfin-scraper`) Actor

Scrape Redfin for-sale listings & recently-sold comps: address, price, sold price + sold date, beds/baths, sqft, $/sqft, lot, year built, property type, status, MLS#, lat/long, days on market, plus listing/selling agent & broker. By Redfin city, ZIP, neighborhood or county URL. US, no login.

- **URL**: https://apify.com/scrapersdelight/redfin-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.50 / 1,000 per listing scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Redfin Scraper — Listings & Sold Comps

Scrape **Redfin** for-sale listings and **recently-sold comparables** into clean, structured rows —
built for appraisers, real-estate investors & flippers, iBuyers, mortgage lenders, proptech and RE
CRMs who need sold-price comps and live inventory by market.

Give it one or more Redfin search URLs (a city, ZIP, neighborhood or county page) and it returns
every matching property, including the **sold price and sold date** on recently-sold comps.

### What you get per property

| Field | Notes |
|---|---|
| `address`, `streetAddress`, `city`, `state`, `zip` | full mailing address |
| `latitude`, `longitude` | exact geocode |
| `price` | list price (for-sale) or sold price (sold) |
| `soldPrice`, `soldDate` | the comp money fields — filled on recently-sold homes |
| `pricePerSqft`, `hoaMonthly` | valuation inputs |
| `beds`, `baths`, `sqft`, `lotSize`, `yearBuilt`, `stories` | property characteristics |
| `propertyType` (+ `propertyTypeCode`) | Single Family, Condo/Co-op, Townhouse, Land, … |
| `status` | Active, Pending, Closed, … |
| `daysOnMarket` | DOM |
| `mlsNumber` | MLS listing number |
| `listingAgentName`, `sellingAgentName`, `sellingBrokerName` | when the MLS exposes them |
| `numPhotos`, `listingRemarks`, `url`, `propertyId`, `listingId` | |

### Input

- **Redfin search URLs** — open the area on redfin.com and copy the address-bar URL, e.g.
  `https://www.redfin.com/city/30818/TX/Austin` or `https://www.redfin.com/zipcode/78704`.
- **Listing status** — *For sale* or *Recently sold (comps)*.
- **Sold lookback window** — last week … last 5 years (used only for sold comps).
- **Max results** — cap per run. Set `0` to pull the whole search scope.

### How it works

Redfin exposes an internal listings JSON API. This actor seeds a session on redfin.com, resolves the
region from your URL, and reads listing records directly from that API (paginating for large areas),
so a single call returns hundreds of complete records. It runs over **US residential proxies** by
default and rotates IP automatically if a request is throttled. No login, no Redfin account.

### Pricing

Pay-per-result: **$0.0025 per listing** returned. You are only charged for rows delivered within your
run's budget.

### Notes & compliance

Only public Redfin listing data is collected. Listing/selling agent names appear only where the
underlying MLS permits Redfin to display them. You are responsible for using the data in compliance
with Redfin's Terms of Service and applicable law.

# Actor input Schema

## `searchUrls` (type: `array`):

One or more Redfin search-results URLs to scrape — a city (https://www.redfin.com/city/30818/TX/Austin), ZIP (https://www.redfin.com/zipcode/78704), neighborhood or county page. Every matching listing on the page is returned. Open the area on redfin.com and copy the URL from the address bar.

## `listingStatus` (type: `string`):

Which listings to pull: currently for-sale, or recently-sold comps (with sold price + sold date).

## `soldWindow` (type: `string`):

How far back to pull recently-sold comps. Only applies when Listing status = Recently sold.

## `maxResults` (type: `integer`):

Cap on the number of listings returned this run (cost/speed guard). Default 100; set 0 to pull the whole search scope (up to a safety cap).

## `proxyConfiguration` (type: `object`):

Proxy settings. Redfin blocks datacenter IPs, so US RESIDENTIAL is the default and strongly recommended for reliable results.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.redfin.com/city/30818/TX/Austin"
  ],
  "listingStatus": "sold",
  "soldWindow": "3mo",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `records` (type: `string`):

The dataset of scraped Redfin listings and sold comps (one item per property).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchUrls": [
        "https://www.redfin.com/city/30818/TX/Austin"
    ],
    "listingStatus": "sold",
    "soldWindow": "3mo",
    "maxResults": 5
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapersdelight/redfin-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchUrls": ["https://www.redfin.com/city/30818/TX/Austin"],
    "listingStatus": "sold",
    "soldWindow": "3mo",
    "maxResults": 5,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapersdelight/redfin-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchUrls": [
    "https://www.redfin.com/city/30818/TX/Austin"
  ],
  "listingStatus": "sold",
  "soldWindow": "3mo",
  "maxResults": 5
}' |
apify call scrapersdelight/redfin-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapersdelight/redfin-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/KvJwksnqdYvdiX3p5/builds/sQNDYSr37OzinrxQP/openapi.json